The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…

Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…

Using self-paced reading, the present study compared native English and adult L1-Korean-L2-English speakers' processing behaviors during online comprehension of underinformative scalar sentences and non-scalar sentences like "Some/All elephants have trunks and ears." Results indicate that native speakers showed online sensitivity (i.e.…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Online teacher education programs can be more situated by engaging student teachers in Internet-based collaborative reflection (ICR) and e-learning-oriented assessment (ELOA) via Web 2.0 technology. Thus, this study explored how the role of English-as-a-foreign-language (EFL) student teachers' ICR practices and ELOA can enhance student teachers'…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…

Nowadays, mathematics education providing challenging, interesting, interactive and technology-oriented learning experiences to students attracts attention both in research and practice. Among those experiences, competitions, due to their role of integrating the interest and desire of students to compete in education, challenging their potentials…

Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI-specific misconceptions, myths and fears (e.g., mass unemployment and privacy…

Modern digital technologies enable the efficient collection and processing of student perceptions of teaching quality. However, students' ratings could be confounded by student, teacher, and classroom characteristics. We investigated students' ratings of 26 teachers who used the digital tool Impact! in their mathematics lessons with 14- and…

Purpose: The advancement of technology in the last decades transformed the education from mortar and brick into online teaching and learning. It also changed the assessments from paper-based to technology-supported assessments. This study aims to examine how technology support student's online assessments in higher education institutions from…

The present study is part of a larger mixed methods project that investigated the speaking section of the Advanced Placement (AP) Japanese Language and Culture Exam. It investigated assumptions for the evaluation inference through a content analysis of test taker responses. Results of the content analysis were integrated with those of a many-facet…

Previous research on online features embedded in language assessments have been limited to the use of dictionary or spell/grammar check. Few have examined the role of accessibility features in the Kindergarten to Grade 12 (K-12) English learner (EL) context in the U.S. This study examined how K-12 EL educators perceive and instruct online…

Instructors use a variety of online formative assessment (FA) activities to support learning outside class. Previous studies have revealed barriers for students in online courses, but little is known about the barriers students experience when completing online FA assignments. Understanding these barriers to access is critical to fostering more…